Abstract | ||
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This paper describes techniques used in a Web-based decision support system to enhance dermatological diagnosis for rural and remote communities. We proposed a technique to improve the query representation and shorten the length of the query process, and a knowledge validation technique to help the domain expert supervise and maintain a consistent knowledge base. Experiments were conducted to test the effectiveness of each technique. Results indicated that the new querying technique improves a decision tree query approach. In addition, the results showed that supervised knowledge updating can improve the identification and handling of ambiguous cases to produce 100% correct classification. |
Year | DOI | Venue |
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2006 | 10.1109/CBMS.2006.155 | CBMS |
Keywords | Field | DocType |
knowledge validation technique,new querying technique,supervised knowledge,query process,web-based decision support system,remote communities,ambiguous case,correct classification,consistent knowledge base,decision tree query approach,query representation,enhancing dermatological diagnosis,decision tree,internet,decision support system,decision support systems,knowledge base,decision trees,skin | Telemedicine,Decision tree,Data mining,Knowledge validation,Computer science,Subject-matter expert,Decision support system,Knowledge base,The Internet | Conference |
ISSN | ISBN | Citations |
2372-9198 | 0-7695-2517-1 | 1 |
PageRank | References | Authors |
0.42 | 2 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Monica H. Ou | 1 | 15 | 3.65 |
Geoff A. W. West | 2 | 562 | 82.46 |
Mihai Lazarescu | 3 | 486 | 53.45 |
Chris Clay | 4 | 12 | 2.46 |